Space-time forecast calibration

Comparing a transformer with simpler forecast corrections using synthetic data.

What I did

I built a synthetic-data comparison with statistical baselines, a NumPy reference, and a PyTorch transformer.

Result: The repository and demo page show the experiment setup and results.

Tools

  • Python
  • NumPy
  • PyTorch
  • Transformers
  • Forecast calibration

The results use synthetic data, not real-world climate tests; data-loading code does not show operational forecast accuracy.

Technical details

Independent portfolio demonstration

A complex forecast model needs to be compared with simpler methods.

  • Create a synthetic forecast-correction task.
  • Compare the transformer with statistical corrections.
  • Publish the tests, measurements, and results.

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